Skip to content

Datastax Enterprise and Apache Cassandra diagnostic tooling from DataStax

License

Notifications You must be signed in to change notification settings

RomainAnselin/sperf

 
 

Repository files navigation

sperf diagnostic tooling

User documentation

Python application

sperf is a command line tool that can analyze clusters and hardware performance to help diagnose performance problems with DataStax Enterprise and Apache Cassandra™. Originally an internal only project is has been opened sourced under the Apache 2.0 license and a new public repository was created.

Development

Find the docs on How to Contribute here

Contributors to closed source sperf

  • Brandon Williams (driftx) - rewrite from Go to Python, primary author of gc, statuslogger, sysbottle, jarcheck, bgrep, ttop, and slowquery
  • Ryan Svihla (foundev) - original project author, Apache Solr™ tooling, diag and default command
  • Nate Sanders (Nate75Sanders) - 1 commit but it was a good bug fix

License

© DataStax, Inc.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


DataStax is a registered trademark of DataStax, Inc. and its subsidiaries in the United States and/or other countries.

Apache Cassandra, Apache, Tomcat, Lucene, Solr, Hadoop, Spark, TinkerPop, and Cassandra are trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries.

About

Datastax Enterprise and Apache Cassandra diagnostic tooling from DataStax

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.8%
  • Makefile 0.2%